 Hello, good afternoon everyone. My name is Nina Chilap and me along with my team are going to present projects under Akash application development group. So, my team consists of first me, Nina, then I have Arun over there and Ajay, Mithali. These are the projects under our group, classroom interaction app which will be given by me and then we have Akash online tech support system extension which will be presented by Amul and then we have analysis of EDX data which will be presented by Pushpug. So, let us start with classroom interaction app. So, what is classroom interaction? Anyone of you, yeah right to make some communication and all. So, what is the exact, what is the problem with that system? Like look at this classroom, it is very huge classroom. If I ask that girl to say, ask a question or say some answer or something, the guy sitting over here will not be able to hear that. It would not be that audible. It may be depending on your power, like if you can speak so loud. So, that is the one problem. So, in IIT Bombay we have mic. So, we can just transfer that mic over there and then she can speak and it will be audible and then there is a problem like it is time consuming like after you this guy ask a question, wants to ask a question. That mic need to be transferred from there to this person. So, it is kind of time consuming. So, we came up with the idea of classroom interaction app. So, what exactly is this app like it is a student teacher interaction in classroom using Akash tablet built in microphone and front camera. So, I will just show you the UI what exactly we are planning. So, first a student need to type his name like she will type is type her name and then a photo will be clicked by front camera and then she will press that center button and it will there will be a server with the server which will connect it to speakers and that server will be with the professor over there. And then after that when you press that button the server will get notification that the person with that name is asking a question. Similarly, there are if there are 10, 15 students each and every one of them can ask at the same time raise the hand we call it at raise your hand. So, person can raise the hand and then there will be a list of all the students over there. So, professor wants that this person should ask the question he will just click on that ok. She should she should ask the question she will get a notification you can start speaking or you can ask a question. So, then she will start and the entire classroom will be able to hear because that server the the tablet will be connected to the server and through via server the speakers are connected. So, everyone will be able to hear and that time each and every each and every tablet at that time will be in a waiting mode. As soon as that will be finished. So, the other person in the queue will get a chance to ask a question and he can even withdraw at any point of time like two person are having same question. So, if that question is been asked the other person ok that question has been solved my doubt has been solved. So, we will just do is just do that you will just cancel the cancel is not ok it is my turn and the her name or his name will be removed from the list automatically. So, this is our app classroom interaction. So, next I will like to call upon Amul to continue the presentation. Good evening each and everyone. First of all the basic idea behind developing a portal on Akash Tech Support is I would like to brief you in some few points. We have distributed around 90,000 tablets all across India. So, taking the queries related to a tablet on the phone is very difficult and tiresome and for that we require a call center. So, we are not here for setting up a call center. So, we thought of developing a portal for Akash Tech Support where queries will be taken from the remote centers all across India. They will register their tablet on the website and they will submit the issues related to a tablet and the queries will be solved through email or through phone call. So, currently we have developed one system rather portal it is a ticket based system. So, the user can register their tablet on the website then a ticket will be generated and their fault will be solved within next 48 hours that is the system we follow here. Then we have on the portal we have put a discussion forum where a student can post the queries can post a solution which we also do not know because tablet is a one of its kind Akash tablet. So, plus auto generated mail. So, once a student you are a faculty register the complaint register the complaint. So, they will get an email on their respective email stating that your query will be solved in next 48 hours plus we have provided FAQs where all the solutions what we have come across we have provided that and the technology behind the portal is currently we are planning to develop more sophisticated portal. So, currently we have used ZUMLA HTML5 PHP and for database we have used MySQL. Now the new features which we are going to put into that portal is SMS service where the person has to register their mobile number with us. So, they will get an SMS stating that your query has been registered with us. So, your query will be solved plus statistical and graphical representation of the faults we have classified around 10 faults in the tablets. So, that has been classified on the website portal. So, according to the fault there will be a graphical representation on the portal plus a new feature of chat application there will be providing a chat application along with the video chat if possible and for that we require technology like Django and Python. I will take you through the web portal. This is the portal we have developed. So, the student has to go on this portal then he has to register the tablet there he has to put his email ID and the tablet ID without tablet ID the portal won't work for him. Once he register his tablet he has to again go on the web portal and login there with the email ID. So, once he logs into the portal he can see FAQs, discussions, submit issues and view issues. In submit issues he has to launch his complaint. See, these are the faults we have identified in the tablet. So, the student has to click on the fault which is facing currently. So, once he clicks on the fault he has to type some text there briefly stating his fault what is facing in the tablet. Once he submit the fault a ticket will be generated then FAQs what I said previously we have provided the questions along with the solution. These are the solutions we have provided then discussion forum right now we don't have any discussion here and there you can see your ticket number date created when you submitted your query and the status and subject and department. That's it from me I will call Pushpuk to continue. Okay, hi everyone my name is Pushpuk. I'm a master student here in computer science and here to talk about edX data analytics. So, edX is an open source MOOC like course developed jointly by IIT Bombay and in edX we collect various kind of data to the user so it can be of the courses, the students data and also the log data which is basically the user behavior. So, edX data analytics is basically to use this data and try to make sense of it. So, can we the challenges can be used to data to determine if two students are copying of each other. If a student is engaging into off-task behavior or trying to game the system. When students give feedback about a particular course can we make more effective sense out of that feedback. So, these are some of the questions that we will try to analyze and try to answer using the data that we collect from edX. But this is more of a research kind of project which is not a software development project. The technology that we use is Hadoop for analyzing big data and we also use Hive and for doing machine learning we use various toolkits such as RapidMiner and WECA. So, to do this project to be a part of this project so once you come inside the project we will give you a more detail of what it is. But you should be good in writing SQL queries because Hive is very similar to SQL and you should have a good background of probability and statistics and any background in machine learning would be great. So, anyone having a background in machine learning or artificial intelligence data mining. So, once you actually join the project we will give you a more detail of what the project actually is. So, who is next?